THE EXPLORATION OF THE FACTORS INFLUENCING ONLINE LEARNING IN HIGHER EDUCATION INSTITUTIONS

With the diverse applications of information technology and the trend toward online learning, many highereducation institutions in China have established online learning platforms. These platforms provide teachinginteraction and review services through remote login systems, breaking the limitations of time and space andexpanding students' learning paths. However, due to the urban-rural disparities and diverse backgrounds ofstudents from various regions, the needs for online learning platforms vary.Thus, this study uses interviews andquestionnaires, combined with the Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD)to explore the improvement areas of online learning platforms in higher education institutions. The aim is tobetter understand students' overall functional needs for the online learning platforms provided by theirinstitutions. The research results indicate that in terms of student needs, security and privacy, time cost, teachingmethods, and diverse teaching resources are most important. For platform operational needs, timely updates,membership systems, information authenticity, and website activities are the most urgent improvementdirections.I hope this paper can help higher education institutions optimize their online learning platformfunctions to better meet all users' needs.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-29
DOI
https://doi.org/10.5281/zenodo.14568134
Primary Topic
Quality Function Deployment in Product Design
Type
article
Field-Weighted Citation Impact
0.00
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article

THE EXPLORATION OF THE FACTORS INFLUENCING ONLINE LEARNING IN HIGHER EDUCATION INSTITUTIONS

Zenodo (CERN European Organization for Nuclear Research)
Quality Function Deployment in Product Design
article

THE EXPLORATION OF THE FACTORS INFLUENCING ONLINE LEARNING IN HIGHER EDUCATION INSTITUTIONS

article en

Abstract

With the diverse applications of information technology and the trend toward online learning, many highereducation institutions in China have established online learning platforms. These platforms provide teachinginteraction and review services through remote login systems, breaking the limitations of time and space andexpanding students' learning paths. However, due to the urban-rural disparities and diverse backgrounds ofstudents from various regions, the needs for online learning platforms vary.Thus, this study uses interviews andquestionnaires, combined with the Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD)to explore the improvement areas of online learning platforms in higher education institutions. The aim is tobetter understand students' overall functional needs for the online learning platforms provided by theirinstitutions. The research results indicate that in terms of student needs, security and privacy, time cost, teachingmethods, and diverse teaching resources are most important. For platform operational needs, timely updates,membership systems, information authenticity, and website activities are the most urgent improvementdirections.I hope this paper can help higher education institutions optimize their online learning platformfunctions to better meet all users' needs.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 40%
Quality Function Deployment in Product Design
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THE EXPLORATION OF THE FACTORS INFLUENCING ONLINE LEARNING IN HIGHER EDUCATION INSTITUTIONS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS